Alpha & Omega Semiconductor (AOSL) Operating Leases (2019 - 2026)
Alpha & Omega Semiconductor (AOSL) reported Operating Leases of $16.79 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.8% from $16.93 million a year earlier and down 2.3% from the prior quarter.
Alpha & Omega Semiconductor (AOSL) Operating Leases (2019 - 2026) Analysis & Trends
Dating back to fiscal Q1 2020, Alpha & Omega Semiconductor's Operating Leases record includes 28 quarters.
- Operating Leases has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -11.2% (FY2021 to FY2026).
- By fiscal year, Operating Leases came in at $16.93 million in FY2025 (-17.4%), $20.5 million in FY2024 (-0.2%), $20.54 million in FY2023 (-1.6%) and $20.88 million in FY2022 (-31.4%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Operating Leases since fiscal Q2 2020.
- Year over year, Operating Leases has now declined in each of the last nine quarters, with an average decline of 7.5% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q2 2024 (growth of 7.6%); the low point was fiscal Q2 2022 (a decline of 37.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $17.18 million (Q3 2026), $18.46 million (Q2 2026) and $19.15 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Alpha & Omega Semiconductor | 914.85 Mn | 123.98 Mn | 39.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.79 Mn |
| Mar 31, 2026 | 17.18 Mn |
| Dec 31, 2025 | 18.46 Mn |
| Sep 30, 2025 | 19.15 Mn |
| Jun 30, 2025 | 16.93 Mn |
| Mar 31, 2025 | 17.68 Mn |
| Dec 31, 2024 | 18.85 Mn |
| Sep 30, 2024 | 20.28 Mn |
| Jun 30, 2024 | 20.50 Mn |
| Mar 31, 2024 | 20.10 Mn |
| Dec 31, 2023 | 21.21 Mn |
| Sep 30, 2023 | 22.16 Mn |
| Jun 30, 2023 | 20.54 Mn |
| Mar 31, 2023 | 19.33 Mn |
| Dec 31, 2022 | 19.71 Mn |
| Sep 30, 2022 | 20.75 Mn |
| Jun 30, 2022 | 20.88 Mn |
| Mar 31, 2022 | 22.12 Mn |
| Dec 31, 2021 | 19.43 Mn |
| Sep 30, 2021 | 29.34 Mn |
Alpha & Omega Semiconductor Operating Leases API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-leases&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AOSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();